correlation and causation
Correlation refers to a statistical relationship between two or more variables, where a change in one variable is associated with a change in the others. However, correlation alone does not indicate a cause-and-effect relationship. Causation, on the other hand, implies that one variable directly influences or produces a change in another variable. When interpreting data, it is important to understand that correlation does not necessarily imply causation.
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Related Concepts (22)
- causal inference
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- directionality
- endogeneity
- experimental design
- hypothesis testing
- mediation analysis
- moderation analysis
- multicollinearity
- observational studies
- pearson correlation coefficient
- post hoc ergo propter hoc
- regression analysis
- simpson's paradox
- spurious relationships
- statistical analysis
- time series analysis
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